nucliweb/webperf-snippets

webperf

Web performance measurement and debugging toolkit.

查看源码

使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/nucliweb/webperf-snippets --skill webperf

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

WebPerf Snippets Toolkit

A collection of 56 JavaScript snippets for measuring and debugging web performance in Chrome DevTools. Each snippet runs in the browser console and outputs structured, color-coded results.

Quick Reference

SkillSnippetsTrigger phrases
webperf-core-web-vitals7"debug LCP", "slow LCP", "CLS", "layout shifts", "INP", "interaction latency", "responsiveness"
webperf-loading34"TTFB", "slow server", "FCP", "render blocking", "font loading", "script loading", "resource hints", "service worker"
webperf-interaction10"jank", "scroll performance", "long tasks", "animation frames", "INP debug"
webperf-media4"image audit", "lazy loading", "image optimization", "video audit"
webperf-resources1"network quality", "bandwidth", "connection type", "save-data"

Workflow

  1. Identify the relevant skill based on the user's question (see Quick Reference above)
  2. Load the skill's skill.md to see available snippets and thresholds
  3. Execute with Chrome DevTools MCP:
  • mcp__chrome-devtools__navigate_page → navigate to target URL
  • mcp__chrome-devtools__evaluate_script → run the snippet
  • mcp__chrome-devtools__get_console_message → read results
  1. Interpret results using the thresholds defined in the skill
  2. Provide actionable recommendations based on findings

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Intelligent Core Web Vitals analysis with automated workflows and decision trees. Measures LCP, CLS, INP with guided debugging that automatically determines follow-up analysis based on results. Includes workflows for LCP deep dive (5 phases), CLS investigation (loading vs interaction), INP debugging (latency breakdown + attribution), and cross-skill integration with loading, interaction, and media skills. Use when the user asks about Core Web Vitals, LCP optimization, layout shifts, or interacti

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webperf-interaction

Intelligent interaction performance analysis with automated workflows for INP debugging, scroll jank investigation, and main thread blocking. Includes decision trees that automatically run script attribution when long frames detected, break down input latency phases, and correlate layout shifts with interactions. Features workflows for complete interaction audit, third-party script impact analysis, and animation performance debugging. Cross-skill integration with Core Web Vitals (INP/CLS correla

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webperf-media

Intelligent media optimization with automated workflows for images, videos, and SVGs. Includes decision trees that detect LCP images (triggers format/lazy-loading/priority analysis), identify layout shift risks (missing dimensions), and flag lazy loading issues (above-fold lazy or below-fold eager). Features workflows for complete media audit, LCP image investigation, video performance (poster optimization), and SVG embedded bitmap detection. Cross-skill integration with Core Web Vitals (LCP/CLS

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